Saina Abolmaali Data-verified

OverviewAI-generated summary

Saina Abolmaali's research has focused on the application of statistical and machine learning models for forecasting infectious disease outbreaks, particularly COVID-19. She has investigated various modeling approaches, including SIR models, linear regression, logistic functions, ARIMA, and SARIMA models, often employing grid search optimization techniques to enhance forecasting accuracy. Recent work has also explored the comparative performance of these models, including the integration of Recurrent Neural Network (RNN) models. Her publications include analyses of forecasting COVID-19 cases in the United States and comparative studies of different modeling techniques. Abolmaali's scholarly contributions are reflected in her h-index of 4 and 96 total citations across 6 publications.

Metrics

• h-index: 4
• Publications: 6
• Citations: 96